[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631591":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":10,"centralContacts":19,"locations":28,"responsibleParty":46,"collaborators":10,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":52,"acronym":10,"eligibilityCriteria":53,"healthyVolunteers":50,"sex":54,"minAge":55,"maxAge":10,"enrollmentInfo":56,"targetDuration":10,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":10,"overallStatus":31,"whyStopped":10,"lastUpdateSubmitDate":63,"lastUpdatePostDateStruct":64,"startDateStruct":67,"completionDateStruct":68,"leadSponsor":70,"locationsCount":71},{"fullName":5,"class":6},"Royal Brompton & Harefield NHS Foundation Trust","OTHER",[8],{"label":9,"type":10,"description":10,"interventionNames":11},"Diagnosis of ALS without NIV",null,[12],"Device: SleepImage",[14],{"type":15,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"DEVICE","SleepImage","SleepImage Device",[9],[20,25],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"Professor Michael Polkey","CONTACT","020 7352 8121","mike.polkey@nhs.net",{"name":26,"role":22,"phone":10,"phoneExt":10,"email":27},"Lucy Redmond","lucy.redmond4@nhs.net",[29],{"facility":30,"status":31,"city":32,"state":10,"zip":33,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Royal Brompton Hospital","RECRUITING","London","sw3 6np","United Kingdom","UK",{"type":37,"coordinates":38},"Point",[39,40],-0.12574,51.50853,{"lat":40,"lon":39},[43],{"name":44,"role":22,"phone":45,"phoneExt":10,"email":27},"Lucy Redmond, Physiotherapy","07752472282",{"type":47,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100631591","diagnostic-accuracy-of-sleepimage-technology-for-detecting-respiratory-failure-in-patients-with-amyotrophic-lateral-sclerosis-100631591",false,"NCT07502677","Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis","Inclusion Criteria:\n\n* Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS\n\nExclusion Criteria:\n\n* Patients with known respiratory disease\n* Unstable cardiac disease, stable hypertension or ischaemic heart disease\n* Current NIV use\n* Inability to give consent (expected \\~15% due to frontotemporal dementia)","ALL","18 Years",{"count":57,"type":58},15,"ESTIMATED","OBSERVATIONAL","The specific aim of this study is to try to discover the diagnostic accuracy of SleepImage technology for detecting respiratory failure in patients with MND. Importantly, this research project is not about NIV, it is about what method can most efficiently decide when to start NIV.\n\nTo do this we'd like to collect data about you and your breathing from the SleepImage device when you come in for your routine overnight sleep study. We will compare this against the data that we would collect anyway.",[62],"Amyotrophic Lateral Sclerosis","2026-03-24",{"date":65,"type":66},"2026-03-31","ACTUAL",{"date":63,"type":66},{"date":69,"type":58},"2027-03-24",{"name":5,"class":6},1]